Python Automation: Web Scraping with Beautiful Soup
Web scraping is the process of extracting data from websites and saving it for further analysis or processing. It can be a powerful tool for gathering data from the web, and Python's Beautiful Soup library makes it easy to extract data from HTML and XML documents. To start using Beautiful Soup , you'll need to install it first. You can do this using pip , the Python package manager: 1. pip install beautifulsoup4 Once Beautiful Soup is installed, you can start using it to scrape data from websites. Here's an example of how to scrape data from a simple HTML page: Code: import requests from bs4 import BeautifulSoup # Send a GET request to the website response = requests.get('https://www.example.com') # Parse the HTML content soup = BeautifulSoup(response.text, 'html.parser') # Find all the <h2> tags on the page h2_tags = soup.find_all('h2') ...